| Non-isotropy Regularization for Proxy-based Deep Metric Learning | 0 | 0.34 | 2022 |
| Unified Scaling Laws for Routed Language Models. | 0 | 0.34 | 2022 |
| Integrating Language Guidance into Vision-based Deep Metric Learning | 0 | 0.34 | 2022 |
| Improving Language Models by Retrieving from Trillions of Tokens. | 0 | 0.34 | 2022 |
| Vector Quantized Models for Planning | 0 | 0.34 | 2021 |
| Perceiver: General Perception with Iterative Attention. | 0 | 0.34 | 2021 |
| Pointer Graph Networks | 0 | 0.34 | 2020 |
| Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs | 0 | 0.34 | 2020 |
| Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML | 2 | 0.36 | 2020 |
| Preventing Posterior Collapse with delta-VAEs. | 0 | 0.34 | 2019 |
| Universal Transformers. | 0 | 0.34 | 2019 |
| Low Bit-Rate Speech Coding With Vq-Vae And A Wavenet Decoder | 0 | 0.34 | 2019 |
| REGAL: Transfer Learning For Fast Optimization of Computation Graphs. | 0 | 0.34 | 2019 |
| Graph Matching Networks for Learning the Similarity of Graph Structured Objects | 3 | 0.38 | 2019 |
| Attentive Neural Processes. | 0 | 0.34 | 2019 |
| Classification Accuracy Score for Conditional Generative Models. | 2 | 0.37 | 2019 |
| Generating Diverse High-Fidelity Images with VQ-VAE-2. | 7 | 0.40 | 2019 |
| Learning Deep Generative Models of Graphs. | 26 | 0.67 | 2018 |
| Deep Audio-Visual Speech Recognition | 22 | 0.68 | 2018 |
| Memory-based Parameter Adaptation. | 0 | 0.34 | 2018 |
| Meta-Learning with Latent Embedding Optimization. | 28 | 0.69 | 2018 |
| Relational inductive biases, deep learning, and graph networks. | 74 | 1.41 | 2018 |
| Synthesizing Programs for Images using Reinforced Adversarial Learning. | 9 | 0.46 | 2018 |
| Relational recurrent neural networks. | 9 | 0.46 | 2018 |
| Relational Deep Reinforcement Learning. | 18 | 0.74 | 2018 |
| Representation Learning with Contrastive Predictive Coding. | 47 | 1.09 | 2018 |
| Parallel WaveNet: Fast High-Fidelity Speech Synthesis. | 40 | 1.31 | 2018 |
| Learning to Search with MCTSnets. | 8 | 0.53 | 2018 |
| Learning Fast Optimizers For Contextual Stochastic Integer Programs | 1 | 0.37 | 2018 |
| Sample Efficient Adaptive Text-to-Speech. | 2 | 0.41 | 2018 |
| A Study on Overfitting in Deep Reinforcement Learning. | 10 | 0.49 | 2018 |
| Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. | 0 | 0.34 | 2018 |
| Learning Implicit Generative Models with the Method of Learned Moments. | 1 | 0.40 | 2018 |
| Bayesian Recurrent Neural Networks. | 20 | 0.75 | 2017 |
| Video Pixel Networks. | 0 | 0.34 | 2017 |
| Hierarchical Representations for Efficient Architecture Search. | 70 | 1.90 | 2017 |
| Learning model-based planning from scratch. | 16 | 0.62 | 2017 |
| Understanding Synthetic Gradients and Decoupled Neural Interfaces. | 9 | 0.48 | 2017 |
| Neural Message Passing for Quantum Chemistry. | 198 | 4.83 | 2017 |
| Decoupled Neural Interfaces using Synthetic Gradients. | 38 | 1.12 | 2017 |
| Adversarial Evaluation of Dialogue Models. | 8 | 0.63 | 2017 |
| Population Based Training of Neural Networks. | 55 | 2.16 | 2017 |
| Metacontrol for Adaptive Imagination-Based Optimization. | 18 | 0.83 | 2017 |
| Neural Episodic Control. | 0 | 0.34 | 2017 |
| Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge. | 36 | 1.27 | 2017 |
| StarCraft II: A New Challenge for Reinforcement Learning. | 46 | 1.67 | 2017 |
| Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. | 6 | 0.44 | 2017 |
| Neural Discrete Representation Learning | 50 | 1.17 | 2017 |
| Contextual LSTM (CLSTM) models for Large scale NLP tasks. | 27 | 1.17 | 2016 |
| TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. | 743 | 29.70 | 2016 |
